In this paper, we propose a new algorithm for sequential non-parametric hypothesis testing
based on Random Distortion Testing (RDT). The data-based approach is non-parametric in …

During railway transportation, due to various factors such as road conditions and operating
conditions and produced vibrations and shocks, this kind of vibration environment may …

Motivated by the concept of degeneracy in biology (Edelman, Gally 2001), we establish a
first connection between the Multiplicity Principle (Ehresmann, Vanbremeersch 2007) and …

In this work, we propose a new method for sequential binary hypothesis testing. The
approach is non-parametric in the sense that it does not assume any knowledge of signal …

The starting point of this thesis is sensor networks, and how to instigate resilience in them.
Our approach relies on category theory. We first tackle the use of dynamical systems and …

During railway transportation, due to various factors such as road conditions and operating
conditions and produced vibrations and shocks, this kind of vibration environment may …

During my thesis, we took interest in decision problems where signals are assumed to be
stochastic with unknown distributions. In standard literature, such an assumption does not …

In this paper, we evolve from sparsity, a key concept in robust statistics, to concepts and
theoretical results of what we call the mathematics of resilience, at the interface between …

Abstract Random Distortion Testing (RDT) addresses the problem of testing whether the
Mahalanobis distance between a known deterministic model θ0 and a random signal Θ with …

In this paper, we consider the problem of distributed sequential detection using wireless
sensor networks (WSNs) in the presence of imperfect communication channels between the …